Minnesota will put its five-game winning streak on the line when it travels to Michigan on Thursday night. The Golden Gophers (10-3) opened their current hot streak with a 76-65 win over Nebraska before adding four blowout victories against mid-major teams. They are getting set for their first road game since losing to Ohio State on Dec. 3 in an 84-74 final. Michigan (6-7) won its first three games of the season, but it has lost seven of its 10 games since then, including an 87-76 setback against McNeese State last Friday.
Tipoff is set for 9 p.m. ET on Thursday at the Crisler Center. Michigan is favored by 6.5 points in the latest Michigan vs. Minnesota odds, while the over/under is set at 151.5 points via SportsLine consensus. Before entering any Minnesota vs. Michigan picks, you’ll want to see the NCAA Basketball predictions from the model at SportsLine.
The model simulates every Division I college basketball game 10,000 times. It enters Week 9 of the 2023-24 season on a 101-66 roll on all top-rated college basketball picks dating back to last season, returning more than $2,000 for $100 players. It is also off to a fast 11-4 start on top-rated spread picks this season. Anyone following has seen huge returns.
The model has set its sights on Minnesota vs. Michigan. You can head to SportsLine to see its picks. Here are several college basketball betting lines for the game:
- Michigan vs. Minnesota spread: Michigan -6.5
- Michigan vs. Minnesota over/under: 151.5 points
- Michigan vs. Minnesota money line: Michigan: -283, Minnesota: +227
- Michigan vs. Minnesota picks: See picks here
Why Michigan can cover
Michigan’s record is deceiving up to this point, as five of its seven losses have come by single digits, with two of those setbacks coming in overtime. The Wolverines picked up their first conference win of the season at Iowa last month, pulling off the 90-80 upset as 4-point underdogs on the road. Senior forward Olivier Nkamhoua posted a double-double with 12 points and 10 rebounds, while the other four starters finished in double figures as well.
The Wolverines rank inside the top 35 nationally in points per game (83.2), led by Dug McDaniel’s 19.0 points and 5.0 assists per game. Nkamhoua is the second scoring option, averaging 17.2 points and 7.5 rebounds. Michigan has dominated the all-time series between these teams and picked up a pair of blowout wins in the two meetings last season.
Why Minnesota can cover
Minnesota has been outstanding since its loss to Ohio State in early December, winning five straight games by double digits. The Golden Gophers were 2.5-point underdogs in their 76-65 win over Nebraska, as junior guard Elijah Hawkins finished with 12 points, 11 assists and six rebounds. They were playing without leading scorer Dawson Garcia for most of the game due to a sprained ankle.
Garcia, who poured in a career-high 36 points in the loss to Ohio State, returned in the win over Maine last Friday after missing three straight games. The junior forward is averaging 17.6 points and 7.2 rebounds per game, while freshman guard Cam Christie and junior guard Mike Mitchell Jr. are both averaging 11.3 points. Sophomore forward Joshua Ola-Joseph is also in double figures, chipping in 10.6 points per game. See which team to pick here.
How to make Michigan vs. Minnesota picks
The model has simulated Minnesota vs. Michigan 10,000 times and the results are in. We can tell you that the model is leaning Under, and it’s also generated a point-spread pick that is hitting in almost 60% of simulations. You can only see the pick at SportsLine.
So who wins Michigan vs. Minnesota, and which side of the spread hits almost 60% of the time? Visit SportsLine now to find out which side of the spread you need to jump on, all from the model that is on a 101-66 roll on its top-ranked college basketball picks, and find out.
This website aggregates and curates news articles, blog posts, and other content from a variety of external sources. While we aim to link back to the original source, this site does not own or claim ownership of any articles, posts, or other content indexed on this site. The views, opinions, and factual statements expressed in each piece of aggregated content belong solely to its respective author and publisher. We make no representations or warranties regarding the accuracy or completeness of aggregated content. Visitors are advised to verify facts and claims through the original source before reuse or redistribution.
